Clinical Outcomes with Electroconvulsive Therapy: Insights from Computational Modelling

电休克治疗(ECT)是治疗严重、难治性抑郁症的首选方法。然而，由于对内存问题的担忧，它的使用量减少了。ECT的有效性和副作用取决于它的给药方式，但临床试验一次只能测试一种变异。这项研究将使用复杂的计算模型来了解不同的治疗方法如何影响临床结果，从而开发下一代定制设计的ECT治疗。

Electroconvulsive therapy (ECT) is the treatment of choice for severe, resistant depression. However it use is reduced by concerns about memory problems. The effectiveness and side effects of ECT depend on how it is given, but clinical trials can only test 1 variation at a time. This study will use sophisticated computational modelling to understand how varying the treatment approach affects clinical outcomes, allowing the development of next-generation, custom-designed ECT treatment.